{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "stunning-purpose",
   "metadata": {},
   "source": [
    "# Updating Figures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "connected-wheel",
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.io as pio\n",
    "pio.renderers.default = \"png\"\n",
    "pio.renderers[\"png\"].width=500\n",
    "pio.renderers[\"png\"].height=300"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "present-saying",
   "metadata": {},
   "source": [
    "### Adding Traces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "crucial-evidence",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfQAAAEsCAYAAAA1u0HIAAAY/UlEQVR4Xu3dX6il1XnA4XWOo3GEQVQYJ0ONVm+0kCJYq6VpKAiFRkSwVFpoqygypFdqUGJKESmtg6K5KZGJKLENGAbqRSwDuSi0XpShViIEjDeKQ2D8AyaEgRn/zTllb+thHDNz9j5rve+sb83jRYPJt9ba3/N+6c9vz5zJyvr6+nrxFwECBAgQIDBpgRVBn/T8fHgCBAgQIDAXEHQPAgECBAgQGEBA0AcYolsgQIAAAQKC7hkgQIAAAQIDCAj6AEN0CwQIECBAQNA9AwQIECBAYAABQR9giG6BAAECBAgIumeAAAECBAgMICDoAwzRLRAgQIAAAUH3DBAgQIAAgQEEBH2AIboFAgQIECAg6J4BAgQIECAwgICgDzBEt0CAAAECBATdM0CAAAECBAYQEPQBhugWCBAgQICAoHsGCBAgQIDAAAKCPsAQ3QIBAgQIEBB0zwABAgQIEBhAQNAHGKJbIECAAAECgu4ZIECAAAECAwgI+gBDdAsECBAgQEDQPQMECBAgQGAAAUEfYIhugQABAgQICLpngAABAgQIDCAg6AMM0S0QIECAAAFB9wwQIECAAIEBBAR9gCG6BQIECBAgIOieAQIECBAgMICAoA8wRLdAgAABAgQE3TNAgAABAgQGEBD0AYboFggQIECAgKB7BggQIECAwAACgj7AEN0CAQIECBAQdM8AAQIECBAYQEDQBxiiWyBAgAABAoLuGSBAgAABAgMICPoAQ3QLBAgQIEBA0D0DBAgQIEBgAAFBH2CIboEAAQIECAi6Z4AAAQIECAwgIOgDDNEtECBAgAABQfcMECBAgACBAQQEfYAhugUCBAgQICDongECBAgQIDCAgKAPMES3QIAAAQIEBN0zQIAAAQIEBhAQ9AGG6BYIECBAgICgewYIECBAgMAAAoI+wBDdAgECBAgQEHTPAAECBAgQGEBA0AcYolsgQIAAAQKC7hkgQIAAAQIDCAj6AEN0CwQIECBAQNA9AwQIECBAYAABQR9giG6BAAECBAgIumeAAAECBAgMICDoAwzRLRAgQIAAAUH3DBAgQIAAgQEEBH2AIboFAgQIECAg6J4BAgQIECAwgICgDzBEt0CAAAECBATdM0CAAAECBAYQEPQBhugWCBAgQICAoHsGCBAgQIDAAAKCPsAQ3QIBAgQIEBB0zwABAgQIEBhAQNAHGKJbIECAAAECgu4ZIECAAAECAwgI+gBDdAsECBAgQEDQPQMECBAgQGAAAUEfYIhugQABAgQICLpngAABAgQIDCAg6AMM0S0QIECAAAFB9wwQIECAAIEBBAR9gCG6BQIECBAgIOieAQIECBAgMICAoA8wRLdAgAABAgQE3TNAgAABAgQGEBD0AYboFggQIECAgKB7BggQIECAwAACgj7AEN0CAQIECBAQdM8AAQIECBAYQEDQBxiiWyBAgAABAoLuGSBAgAABAgMICPoAQ3QLBAgQIEBA0D0DBAgQIEBgAAFBH2CIboEAAQIECAi6Z4AAAQIECAwgIOgDDNEtECBAgAABQfcMECBAgACBAQQEfYAhugUCBAgQICDongECBAgQIDCAgKAPMES3QIAAAQIEBN0zQIAAAQIEBhAQ9AGG6BYIECBAgICgewYIECBAgMAAAoI+wBDdAgECBAgQEHTPAAECBAgQGEBA0AcYolsgQIAAAQKCXvkMHH7/WOUOlhMgQIDATGD3JdtBVAgI+iZ4bxw6XPY8+ER5+93351fefNON5ZEH7irbzz9v/veCXvH0WUqAAIETBAS97nEQ9E38XjjwUrls985y/bVXz698ct/++b/ev+d2Qa979qwmQIDA5wQEve6BEPQl/WaBP/jKaxtv6d7QlwR0OQECBE4hIOh1j4agL+F37IOPysOPP1t27bzYG/oSbi4lQIDAIgKCvojSqa8R9AX9Zl+1P/P8gS/8GvqRY58suIPLRhBYL6Wsrc3+r7+iBVZXV8pK9CH270pgx/ZtXX2eqX0YQV9yYid/5X7k6MdL7uDyKQu89Yvj5Sf/sVo+/HDKd9H/Zz///FL+5Kb1csVvrfb/YX3CZgI7Lji32V5n40aCvuTUZ7/r/fHv/ag8+p17ykUX7vC73Jf0m/rlh98u5V9+eE45esy7Y+QsL7iglL/5q7Wye9da5DH27kzAV+51AxH0Tfy+/8MXy01/dF256vLd8ytnX72/894v/aa4uudusqsFPWd0gp7j3Nspgl43EUHfxO/lV18vd967d+MqP4de98BNfbWg50xQ0HOceztF0OsmIuh1fr5yr/Sb2nJBz5mYoOc493aKoNdNRNDr/AS90m9qywU9Z2KCnuPc2ymCXjcRQa/zE/RKv6ktF/SciQl6jnNvpwh63UQEvc5P0Cv9prZc0HMmJug5zr2dIuh1ExH0Oj9Br/Sb2nJBz5mYoOc493aKoNdNRNDr/AS90m9qywU9Z2KCnuPc2ymCXjcRQa/zE/RKv6ktF/SciQl6jnNvpwh63UQEvc5P0Cv9prZc0HMmJug5zr2dIuh1ExH0Oj9Br/Sb2nJBz5mYoOc493aKoNdNRNDr/AS90m9qywU9Z2KCnuPc2ymCXjcRQa/zE/RKv6ktF/SciQl6jnNvpwh63UQEvc5P0Cv9prZc0HMmJug5zr2dIuh1ExH0Oj9Br/Sb2nJBz5mYoOc493aKoNdNRNDr/AS90m9qywU9Z2KCnuPc2ymCXjcRQa/zE/RKv6ktF/SciQl6jnNvpwh63UQEvc5P0Cv9prZc0HMmJug5zr2dIuh1ExH0Oj9Br/Sb2nJBz5mYoOc493aKoNdNRNDr/AS90m9qywU9Z2KCnuPc2ymCXjcRQa/zE/RKv6ktF/SciQl6jnNvpwh63UQEvc5P0Cv9prZc0HMmJug5zr2dIuh1ExH0Oj9Br/Sb2nJBz5mYoOc493aKoNdNRNDr/AS90m9qywU9Z2KCnuPc2ymCXjcRQa/zE/RKv6ktF/SciQl6jnNvpwh63UQEvc5P0Cv9prZc0HMmJug5zr2dIuh1ExH0Oj9Br/Sb2nJBz5mYoOc493aKoNdNRNDr/AS90m9qywU9Z2KCnuPc2ymCXjcRQa/zE/RKv6ktF/SciQl6jnNvpwh63UQEvc5P0Cv9prZc0HMmJug5zr2dIuh1ExH0Oj9Br/Sb2nJBz5mYoOc493aKoNdNRNA38Xv51dfLnffu3bjq5ptuLI88cFfZfv5583/v8PvH6iZg9aQEBD1nXIKe49zbKYJeNxFB38TvhQMvlct27yzXX3t1OfbBR+Xhx58tu3ZeXO7fc7ug1z17k1wt6DljE/Qc595OEfS6iQj6kn6zwB985bWNt3Rv6EsCTvxyQc8ZoKDnOPd2iqDXTUTQl/R7ct/++Qpv6EvCDXK5oOcMUtBznHs7RdDrJiLoS/jNfj39iX37y1N77ysXXbhjvvLIsU+W2MGlUxd489Dx8swPVsrRYytTv5WuP/8s6HffWcqVX4lxPr623vX9j/LhVlZWyuoSI9yxfdsot35G7kPQF2SfxfyhR58u+x77Vrnq8t0bq44c/XjBHVw2gsA86M+tCnrwMOdBv2M9JOizmP/bj0t5593gm7B9+YMb1srv/e5qWVmw6jsuOJdahYCgL4B3qpjPlvo19AUAB7rEV+45w4z+yv3Z584pbx1a4tUx57aHO+XWW46X665dK2VlMWtfudc9AoK+id9v+pr9xCWCXvcATm21oOdMTNBznKNPEfRo4c/vL+ibeM9+E9wzzx/43FVfvvSSja/eBT33gT3Tpwl6zgQEPcc5+hRBjxYW9KbCgt6Us/vNBD1nRIKe4xx9iqBHCwt6U2FBb8rZ/WaCnjMiQc9xjj5F0KOFBb2psKA35ex+M0HPGZGg5zhHnyLo0cKC3lRY0Jtydr+ZoOeMSNBznKNPEfRoYUFvKizoTTm730zQc0Yk6DnO0acIerSwoDcVFvSmnN1vJug5IxL0HOfoUwQ9WljQmwoLelPO7jcT9JwRCXqOc/Qpgh4tLOhNhQW9KWf3mwl6zogEPcc5+hRBjxYW9KbCgt6Us/vNBD1nRIKe4xx9iqBHCwt6U2FBb8rZ/WaCnjMiQc9xjj5F0KOFBb2psKA35ex+M0HPGZGg5zhHnyLo0cKC3lRY0Jtydr+ZoOeMSNBznKNPEfRoYUFvKizoTTm730zQc0Yk6DnO0acIerSwoDcVFvSmnN1vJug5IxL0HOfoUwQ9WljQmwoLelPO7jcT9JwRCXqOc/Qpgh4tLOhNhQW9KWf3mwl6zogEPcc5+hRBjxYW9KbCgt6Us/vNBD1nRIKe4xx9iqBHCwt6U2FBb8rZ/WaCnjMiQc9xjj5F0KOFBb2psKA35ex+M0HPGZGg5zhHnyLo0cKC3lRY0Jtydr+ZoOeMSNBznKNPEfRoYUFvKizoTTm730zQc0Yk6DnO0acIerSwoDcVFvSmnN1vJug5IxL0HOfoUwQ9WljQmwoLelPO7jcT9JwRCXqOc/Qpgh4tLOhNhQW9KWf3mwl6zogEPcc5+hRBjxYW9KbCgt6Us/vNBD1nRIKe4xx9iqBHCwt6U2FBb8rZ/WaCnjMiQc9xjj5F0KOFBb2psKA35ex+M0HPGZGg5zhHnyLo0cKC3lRY0Jtydr+ZoOeMSNBznKNPEfRoYUFvKizoTTm730zQc0Yk6DnO0acIerSwoG9J+I1Dh8vj3/tRefQ795SLLtyxsYegb4lzsosEPWd0gp7jHH2KoEcLC/pSwr/69ZHyzW9/t/zs52+Wr15zZXlq732CvpTgWBcLes48BT3HOfoUQY8WFvQtCXtD3xLbcIsEPWekgp7jHH2KoEcLC/qWhAV9S2zDLRL0nJEKeo5z9CmCHi0s6FsSPlXQjxz7ZOH91tZLWV9fX/h6F25d4JzVla0vPs3KNw8dL8/8YKUcPRazf8iHnuCms6DffWcpV36lvfPxtfXyz/vWy1uH2u89QerQj3zbrWvlazeslpUF//u4Y/u20M8z+uYr6wqz0IxPGfSjHy+0ftbxl19dKwf/x/8TWQis4qJdu9bLn92yUiKiPg/6c6uCXjGfRZbOg37HelzQv18EfZFBVF5z263Hy9d+f4mgX3Bu5Yln93JBX3D+Lb5y/9+frpYfv7i64Iku26rAFZevl7vuOL7V5add5yv3ENYvbOor9xzn6FN85R4t/Pn9BX1Bb0FfEKqDywS9gyFUfgRBrwTsZLmg5w5C0DfxPvHH1j679O6//Ea5f8/t879d5ufQvaHnPNyCnuMceYqgR+rm7S3oedazkwS90lvQKwEDlgt6AGryloKeDB50nKAHwZ5iW0Gv9Bb0SsCA5YIegJq8paAngwcdJ+hBsIIeAyvoMa41uwp6jV4fawW9jznUfgpBrxVcbr039OW8vnC1oFcCBiwX9ADU5C0FPRk86DhBD4L1hh4DK+gxrjW7CnqNXh9rBb2POdR+CkGvFVxuvTf05by8oVd6ZSwX9Azl2DMEPdY3a3dBz5L+9BxBr/T2hl4JGLBc0ANQk7cU9GTwoOMEPQjWV+4xsIIe41qzq6DX6PWxVtD7mEPtpxD0WsHl1ntDX87LV+6VXhnLBT1DOfYMQY/1zdpd0LOkfeXeRNobehPGppsIelPOM7KZoJ8R9uaHCnpz0tNu6A290lvQKwEDlgt6AGryloKeDB50nKAHwZ5iW0Gv9Bb0SsCA5YIegJq8paAngwcdJ+hBsIIeAyvoMa41uwp6jV4fawW9jznUfgpBrxVcbr039OW8vnC1oFcCBiwX9ADU5C0FPRk86DhBD4L1hh4DK+gxrjW7CnqNXh9rBb2POdR+CkGvFVxuvTf05by8oVd6ZSwX9Azl2DMEPdY3a3dBz5L+9BxBr/T2hl4JGLBc0ANQk7cU9GTwoOMEPQjWV+4xsIIe41qzq6DX6PWxVtD7mEPtpxD0WsHl1ntDX87LV+6VXhnLBT1DOfYMQY/1zdpd0LOkfeXeRNobehPGppsIelPOM7KZoJ8R9uaHCnpz0tNu6A290lvQKwEDlgt6AGryloKeDB50nKAHwZ5iW0Gv9Bb0SsCA5YIegJq8paAngwcdJ+hBsIIeAyvoMa41uwp6jV4fawW9jznUfgpBrxVcbr039OW8vnC1oFcCBiwX9ADU5C0FPRk86DhBD4L1hh4DK+gxrjW7CnqNXh9rBb2POdR+CkGvFVxuvTf05by8oVd6ZSwX9Azl2DMEPdY3a3dBz5L+9BxBr/T2hl4JGLBc0ANQk7cU9GTwoOMEPQjWV+4xsIIe41qzq6DX6PWxVtD7mEPtpxD0WsHl1ntDX87LV+6VXhnLBT1DOfYMQY/1zdpd0LOkfeW+sPQLB14qf//Ys/Prb77pxvLIA3eV7eefN/97b+gLM6ZdKOhp1GEHCXoYberGgp7K7dfQN+N++dXXyxP79pen9t5XLrpwR3ly3/75kvv33C7om+Gdof9c0M8QfMNjBb0h5hncStBz8X3lvon3LOBXXLar3PaNr8+vPDnw3tBzH9hFThP0RZT6vkbQ+57Pop9O0BeVanOdoJ/G8dgHH5WHH3+23Hjd72wE/Y1Dh8vfPfp0+ceH7ilXXb7bV+5tnsOmuwh6U84zspmgnxH25ocKenPS024o6AsE/c9v+eNy/bVXz688OeiLjmttvZT/Ovhx+e+D64sucd0WBXZdWspf376tnLdtdYs7nHrZ6298XP79J+vlww+bb23DEwS+9KVSbv7T1XLNb29r7vLRJ2vlX/d/Ut55t/nWNjxJ4A9vLOXrN5xbVldX2CQICPoCQT/dG3rCjBxBgAABAgQ2FRD0TYg2+zX0TYVdQIAAAQIEEgQEfRPkzX6Xe8KMHEGAAAECBDYVEPRNiUo53c+hL7DcJQQIECBAIFxA0MOJp33Ayb/kMO27Obs+/ezbpTvv3btx0yf/oUhnl8Y07/ZXvz5Svvnt75af/fzN+Q189ZorN/5MjGnekU8dKSDokboT3vvEbyX+4cG7Nn5sb8K3dNZ99NkML9u9c/4TGp/9COaunRdv/KFIZx3IBG949g9lvzj83sZ//2YzPfjKa5/70yoneFs+cpCAoAfBjrKtN/RRJvnpLx2JwbTnefLv6Zn23fj0rQUEvbXoYPsJ+jgDPfmPLR7nzs6eO5nN8J33fukN/ewZ+VJ3KuhLcZ19Fwv6GDP3ZjftOX72S2B+DX3ac4z+9IIeLTzx/QV94gP8///9gYcefbrse+xb8z+u2F/TFfAPZtOdXcYnF/QM5QmfIegTHp6YT3t4v+HTz37X+0P/9HR54G//wj+cDTfd+hsS9HrDoXcQ9OmO19vcdGf32Sc/8ScVZv/e7O/3v/iffnRt+qMNuQNBD2Gd/qYn/tja7G6+fOklvrKd2Fhn/zD2zPMHPvepzXFaQ5z9j0HtefCJ8va7788/uF9Dn9b8sj+toGeLO48AAQIECAQICHoAqi0JECBAgEC2gKBnizuPAAECBAgECAh6AKotCRAgQIBAtoCgZ4s7jwABAgQIBAgIegCqLQkQIECAQLaAoGeLO48AAQIECAQICHoAqi0JECBAgEC2gKBnizuPAAECBAgECAh6AKotCRAgQIBAtoCgZ4s7jwABAgQIBAgIegCqLQkQIECAQLaAoGeLO48AAQIECAQICHoAqi0JECBAgEC2gKBnizuPAAECBAgECAh6AKotCRAgQIBAtoCgZ4s7jwABAgQIBAgIegCqLQkQIECAQLaAoGeLO48AAQIECAQICHoAqi0JECBAgEC2gKBnizuPAAECBAgECAh6AKotCRAgQIBAtoCgZ4s7jwABAgQIBAgIegCqLQkQIECAQLaAoGeLO48AAQIECAQICHoAqi0JECBAgEC2gKBnizuPAAECBAgECAh6AKotCRAgQIBAtoCgZ4s7jwABAgQIBAgIegCqLQkQIECAQLaAoGeLO48AAQIECAQICHoAqi0JECBAgEC2gKBnizuPAAECBAgECAh6AKotCRAgQIBAtoCgZ4s7jwABAgQIBAgIegCqLQkQIECAQLaAoGeLO48AAQIECAQICHoAqi0JECBAgEC2gKBnizuPAAECBAgECAh6AKotCRAgQIBAtoCgZ4s7jwABAgQIBAgIegCqLQkQIECAQLaAoGeLO48AAQIECAQICHoAqi0JECBAgEC2gKBnizuPAAECBAgECAh6AKotCRAgQIBAtoCgZ4s7jwABAgQIBAgIegCqLQkQIECAQLaAoGeLO48AAQIECAQICHoAqi0JECBAgEC2gKBnizuPAAECBAgECAh6AKotCRAgQIBAtoCgZ4s7jwABAgQIBAgIegCqLQkQIECAQLaAoGeLO48AAQIECAQICHoAqi0JECBAgEC2gKBnizuPAAECBAgECAh6AKotCRAgQIBAtoCgZ4s7jwABAgQIBAgIegCqLQkQIECAQLaAoGeLO48AAQIECAQICHoAqi0JECBAgEC2gKBnizuPAAECBAgECAh6AKotCRAgQIBAtoCgZ4s7jwABAgQIBAgIegCqLQkQIECAQLaAoGeLO48AAQIECAQI/B+8fANPej4E+wAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "\n",
    "fig = go.Figure()\n",
    "\n",
    "fig.add_trace(go.Bar(x=[1, 2, 3], y=[1, 3, 2]))\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "tired-cross",
   "metadata": {},
   "source": [
    "#### Adding Traces To Subplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "enclosed-allowance",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ht/R+UlV92vSn9z8mXzrvDGlsqBMl7+LPpZb+/4uvvC6NDfUHfD5VlXtj23uDfm3NyyyEns45FqmXJIWuBhRE6ggdoQdJXoQehFI6ZRB6eYVe+vnU4qgXfx99fOtY+fZNq2TmiccccIm89I8FVe+mH90tS7654IDvoRe3j9DTOcci9ZK00NWgnnrall88WFipX/A/HfnMCf1X6ggdoQdJXoQehFI6ZRB6toSuZLxw0c3y7vsf5BPgkNYx+UvxntAvPP/MfpfgvdX/yp880C9hglx2R+jpnGOReklD6H5SR+gIPUjyIvQglNIpg9CzI3RP5ksWL8hLO8wKPcpudYSezjkWqZe0hK4Gt+GJnDz0iJUf59/8b0c+dXxhpY7QEXqQ5EXoQSilUwahpyN0dV9747Mv994v/3DXbrny+lul+JJ7scCnTh4vaqPb4iUr8it09f+l99AfXL9Jpk2ZeMA9dJU5d937kMyeNZNL7umcRuF6Kb0Mo3ZJ3nBdW37jhHekKXTV5yPrLVn/eC7f/d9e6MixRzsIfYiwjhxWK47ryp72/eGCn1Dp5qY6aagrxC/tA6GnTXzw/hB6OkL3BP7C5q1SvMu99B66WjV7l8+Pnz4lH7jvLV6QF7o6+v386MPltqVfy0u7dCf9/EtmD7oprninvGrTu6zv9RE3O3lszYegCsCk8S29904GeklB2kJXQ37gl7Zs3FS4p66k/unjXGluqpftH3XEzQkt9VtHN8iOXZ2i3gpV7gOh90UAoZc7G/v6R+jpCD07EU9+JAg9JOPSyzeqejmEXir1Sy9x5dQZtQh9gHhWm9CLVxIKR/ELLBB6yBM+weLVKvT8u9w3bxZ3H+9y151eCD0EUfWsonp8YVxLc79LKuUSuhr6fffb8syzhZX6VW01Mm4iK/TSkFaT0FWO3nbHz2TexZ/PXw4s3eyD0EOc8AkXrVahJ4y1qptH6AHD7616BrqHvrvM92bv+U9Xnny6MJGFbZZMPzLgpBIsNqKhRvZ17pcMXHGX+lpb1Kqga3/wr9cliEbqauz8mNI4vD9CvWdoEXoa1IP1gdCDcaJUcAIIPTirfMmBLrnv3tcdshX9xe/+qcjTvy20e9Xllhwxtbz3roc31si+jh5xlUnLfNTX5sQVV7q6MyL02lxqQi/d0YvQy5yMRd0j9OzEwpSRIPSQkRzoTUDlvOTuDV89tvbzn9fIk8+4ksuJXPplRw6fUj6BsSlu8MRKc5d76SbOzm7ngCsV6ipKFv7wKiWWswuPZ5p6dG55QexbF4nd0Z6ZKTqjxohc889SO2VavzE1NdZkZowMZHACCN0nO5b/230y67QT+z268N72nf0eXcuK0NUu939Z1SUvvGjnpT53To9MnlSeFTJCL7/QlcxLczUv9O6+L/ep7Oh8bqPkfvGTTP2edFonSe6iK6SmaWSmxqVzMJ2vvJhRoS+V2sNKhD6sVufUaSshAgjdB+xAX+sp93PoAw25+MUy99xr56VeWyMy59LySB2hl1foA8lcjWigS+72cxukYfl3EvoVE61ZZ/KR0nn1UnGHN0VroAJqccm9AoJUYUNE6BoClqUVuvcc+t3rbHl5S0Hq8y7rkYkT0l2pI/TyCX2gdyV4o0HoGk54TU0gdE0gaaaXAELXkAxZFLqalif1ulqRtrk9Mv6Q9KSO0Msj9OK3YhWPwHs6w7JzsnN3V7/BsULX8EsgQhMIPQI0qgxJAKFrSJCsCl1N7a67bXnlv22pr3dl3hwnNakj9PII3S+dWaH7EUrv5wg9PdbV0hNC1xDpLAu9VOqXz3OktSX5lTpCR+hxTi3uocehF72u2uXe9dUl4kwovMvcO8aPaYzeKDVTI4DQNaDOutDVFNfeZcurr9nS2OhK22XJSx2hI/Q4pxZCj0Mvel2EHp1dFmoidA1RqAShq2muXmvL628UpH75PFcOHpvcc+oIHaHHObUQehx60esi9OjsslAToWuIQqUIff9+kTt/XJD6sEZXrpjvSHNzMpffETpCj3NqIfQ49KLXRejR2WWhJkLXEIVKEbqaqpL6mjtz8qdtlgwf7sqCeclIHaEj9DinFkKPQy96XYQenV0WaiJ0DVGoJKGr6XZ3i9zxb31Sv+JyR0YfpHeljtARepxTC6HHoRe9LkKPzi4LNRG6hihUmtA9qa9am5O337ZkZJMr89v0Sh2hI/Q4pxZCj0Mvel2EHp1dFmoidA1RqEShq2l3dYmsvrNP6uqe+siRelbqCB2hxzm1EHocetHrIvTo7LJQE6FriEKlCt2T+so1OXn3PUtGjXLlijZHRoyIL3WEjtDjnFoIPQ696HURenR2WaiJ0DVEoZKFrqbf2WHJqrV2XurNo9UjbfGljtARepxTC6HHoRe9LkKPzi4LNRG6hihUutA9qa9Ybcv2PxekvmC+I8OHRV+pI3SEHufUQuhx6EWvi9Cjs8tCTYSuIQomCF1haG+3ZOWagtTHjnFk/jw3stQROkKPc2oh9Dj0otdF6NHZZaEmQtcQBVOE7kl9xSpLdnxg56W+oM3Nv1ku7IHQEXrYnCkuj9Dj0IteF6FHZ5eFmghdQxRMErrCsXefJStXF6TecnDh5TP1DeGkjtARepxTC6HHoRe9LkKPzi4LNRG6hiiYJnRP6itW2rLzQ0sOGedK25xwUkfoCD3OqYXQ49CLXhehR2eXhZoIXUMUTBS6wrJnjyXLV9ny0UcFqc+f2yN1dcGAIXSEHixTBi6F0OPQi14XoUdnl4WaCF1DFEwVukLz8ceW3L6mIPUJE1yZd2kwqSN0hB7n1ELocehFr4vQo7PLQk2EriEKJgvdk/rylbZ8vLsg9bY5PVJbOzQ4hI7Q45xaCD0Oveh1EXp0dlmoidA1RMF0oStEH+6yZOWqgtQPneTK3Et7pKZmcHgIHaHHObUQehx60esi9OjsslAToWuIQjUI3ZP68ttt2bvXkimHOXLpl51BpY7QEXqcUwuhx6EXvS5Cj84uCzURuoYoVIvQFaqdOy1Rb5TzpD5vjjMgQYSO0OOcWgg9Dr3odRF6dHZZqInQNUShmoTuSV3dU9/Xbsm0qY7M+cqBUkfoCD3OqYXQ49CLXhehR2eXhZoIXUMUqk3oCtmfd9j5l88MJnWEjtDjnFoIPQ696HURenR2WaiJ0DVEoRqF7kn99tVW/h3wRx3pyFcu7lupI3SEHufUQuhx6EWvi9Cjs8tCTYTuE4Vnfr9F5l6ztLfUebNmyg3XtUljQ98bVqpV6ArK+9stWXWHnZf6MdMdufiigtQROkKP8wsOocehF70uQo/OLgs1EbpPFO594HGZNL5FZpwwXdo7uuTbN62ScS3N8vWFF/XWrGahe1K/fbUtnZ19UkfoCD3OLziEHode9LoIPTq7LNRE6CGjoAS/8dmX+63Sq13oCuE771qyak1OurpFjj/Oka/Or5Mduzqlxwn3UZeQ4QhUfOSwWnFcV/a07w9UPulCzU110lCXS7qbAdvv6OqRnbu7+v3Mfm6DNCz/TlnGM1inCL084UDo5eGuq1eEHpLkLcvW5WuwQj8Q3FtvW7JmbUHqnz3JkvNm70foA+QXQvc/6RC6P6MkSiD0JKim1yZCD8Fa3U+/edk6uW3p12T0QU29NXdnYOVnWyKN9TWyt6O8q9A33hT50UpXurtEpkwWOfdsS44+KgTkBIrW19riuiJd+wd+Zj6BLodssq7GFjWmpA91NemNbe/1++OTFXrS1IO3b7++Wep++A2xO9qDV0q4JEJPGHDCzSP0gICVzBcvWSHLbrxWpk4e36/W7n3dAVtJrphtW9JYlyu70NUMt74psmqt+q56Yb6TJ4l8/lxLjjqiPJff62tz4oorXd0ZEXptLlGhF2/knH/JbISe3GkXq2WEHgsflQcggNADpMVQMlfVuYd+IMRRwxrkvx7slg1PSn6znDrUO+DPPceRyZPSFXu13kNnhR7g5C5jEYReRviGdo3QfQI72GX24moI/UCI3i53tUp/4kmRjU8X7q2rQ70H/tyzXZk4MR2xI/S+JzK45J6d3+QIPTuxMGUkCN0nkmoT3MqfPNCv1CGtY/pdekfogwvd2+WunlN//AmRTc/kpPuT2/zTDndk1tmuTBifrNgRep/QO7udfnsJFPmupx6Vmn+9IVO/09SmOOsf/p/UjBw55LjU3gj1BEPWjpza1OJzdG55QexbF2XuHrpc889SO2Vav9E3NQ7xaUW/ifLz1AggdA2oEbq/0L0Se/Za8vgGSzZu6tsUduQRjpw7y5XWlmR+MSP0EqF39/QGLC/0jeuzKfRrb/IVevuWl6Tm3uUazmJ9TTijW8T+0uVS29I6ZKOdr7yYUaEvldrDSoQ+rFYfIFpKjABC14AWoQcXeq/Y91jyyGOW/PbZPrFPn+7IOWe50nKwXrEjdHMvudt//IM03HKthrNYXxNO6yTpvHqJuGOGFjqX3PUxp6UCAYSuIRMQenihezU+2mXJ+vWW/O75PrEfe4wrs85yZewYPbvSETpC13CaB24CoQdGRUHNBBC6BqAIPbrQvZoffmTJrx+15A8v9IldvXFu1pmuNDfHW7FXm9BLvz+gGK/5wfX51xebtimOFbqGX2BFTfAcul6eabeG0DUQR+jxhe61sOMDOy/2l17u21R0wqcdOesMV0aPiib2ahP6UCmN0DWc8D5NsEJPnjE9DEwAoWvIDISuT+heS9v/bMmvH7Fk8yt9K/bP/IUjZ5/pysimcGJH6H3xQegaTniEnjxEeohEAKFHwta/EkLXL3SvxXffs+ThRyz546t9Yj/pLx0583RXRowIJnaEjtA1nOaBm2CFHhgVBTUTQOgagCL05ITutfz2O5Y89GtLtr5eEHsuJzLjREdOP82VEcOHFjtCR+gaTvPATSD0wKgoqJkAQtcAFKEnL3Svhze3WfLQw7b8aVvhHntNjcjJM3rktM+JDGscWOwIHaFrOM0DN4HQA6OioGYCCF0DUISentC9nl7basvDj1ry9tsFsdfWipx8Uo+c9lmRxhKxI3SEruE0D9wEQg+MioKaCSB0DUARevpC93r87z8WdsWre+3qqK9zZebJjpz6WZGG+sKKHaEjdA2neeAmEHpgVBTUTAChawCK0MsndK/nzVsKYle74/Nib3Dl1FNEPntyj4wdVZt/3/eeDHy3Xo2tualOGupyGjIvfBPscg/PLGwNhB6WGOV1EUDoGkgi9PIL3RvBiy9Z8sh6S9Tz7OpQl99nnWHLaae40tnzyVdhNMQ8ThMI3Z+e+jhL59VLxR3eNGRhXizjzzJMCV4sE4ZW9soidA0xQejZEbo3kuf/YOfFrt5Ap47hw0Q+d6ojJ81wpLbMH45C6P4nHUL3Z5RECYSeBNX02kToGlgj9OwJ3RvR756z5bENRWIf7soZp7ky8yQ974mPkj4I3Z8aQvdnlEQJhJ4E1fTaROgaWCP07ApdjUxtitvwlCu/esSV3bsLK/ampoLY1Utq0j4Quj9xhO7PKIkSCD0Jqum1idA1sEbo2Re6tynuqadt2fCEJeq77OoYdZCbf+uceq1sWgdC9yeN0P0ZJVECoSdBNb02EboG1gi9coSuRtq9X+TpTTnZ8BuR9vZPxD7KlbPPcEV9CCbpA6H7E0bo/oySKIHQk6CaXpsIXQNrhF5ZQvdG29Ul8tTTOXniKZHOjoLYxzS7ctaZrnzquOTEjtD9TzqE7s8oiRIIPQmq6bWJ0DWwRuiVKXRv1B2dlvzmSSV3W7q6CmI/eGzhy27HHhPsAzBh0gih+9NC6P6MkiiB0JOgml6bCF0Da4Re2UL3Rq8uv6vL8OpyvLosr47WFjcv9qOn61uxI3T/kw6h+zNKogRCT4Jqem0idA2sEboZQvdmsa/dkvWPWfLMs7b09BT+9ZBxrsw6y5Ujj4gvdoTuf9IhdH9GSZRA6ElQTa9NhK6BNUI3S+jebPbssWT945Zs+m3ft9gnjC+IfdrU6DgXfV4AAAqYSURBVGJH6P4nHUL3Z5RECYSeBNX02kToGlgjdDOF7s3q492F18mql9R4x6ETXTn7LFcOnxJe7Ajd/6RD6P6MkiiB0JOgml6bCF0Da4RuttC92anXyCqxq9fK9op9kit/fa4jEycG3zyH0P1POoTuzyiJEgg9CarptYnQNbBG6NUhdG+WO3da8vCjtqgPwXjH1MMdOedsV9Qleb8DofsREkHo/oySKIHQk6CaXpsIXQNrhF5dQvdmqz7V+vCjlmzZ0rdiP2JaQexqE91gB0L3P+kQuj+jJEog9CSoptcmQg/I+rU335GbfnS3LPnmAhl9UP9POiL06hS6N+v3t1vyq4ct+eOrfWKffpST3zynHnsrPRC6/0mH0P0ZJVECoSdBNb02EboP6w937ZYrr79VXti8VY4/+nC5benXEHqA/Gwd3SA7dnVKj+N/CTpAc7GKqI+zeO9yj9WQT+W337Hk4UcseW1rn9iPme7kN8+1HNzHAaH7RwGh+zNKogRCT4Jqem0i9ICsWaEHBPVJsWoUukfozW2WPPSwLX/a1neP/fhj1eNujjQ3u4LQ/XMJofszSqIEQk+CanptIvSArBF6QFAIvRfU1tft/D32t97qE/unP+XIZX9bIyNH5MIB1VS6o6tHdu7u6tea/dwGaVj+HU096GkGoevhGLYVhB6WWLbKI/SA8RhK6LvbP3lPaMC2kihmWyKN9TWyt6P8Y1HzG9FQI/s690sGrrhLfa0trivStT/8M+M6YrX5FZEHfuXKW28XWvvWopxMntB3WV5HH0HbQOhBSUUv57ROks6rl4g7pnXIRuzXN0vdD78hdkd79M4010TomoGm3BxCDwh8SKHv6w7YSnLFbNuSxrpcZoQ+vLFG9nX0iKtMWuajvjYnrrjS1V0eoXvTf+ElS371qCvXXZ2T4Y0Ifai0YIVenpMGoZeHu65eEXpAklxyDwjqk2LVfA/dj1TS99DbO7rk2zetkvt/vTE/lO8uapMvzj49/9+s0P2iE//nrNDjM6SFaAQQekBuCD0gKITuCyppod+ybF1+DF9feJF4T2lcu/AimXHCdITuG534BRB6fIa0EI0AQvfhVvzYmld0/iWz878svYPn0A+EyAp98MRKUugqXxd/f4Vcd9XFMnXy+PwgigXPCj3aL8owtRB6GFqU1UkAoWugidARepg0SlLo6krSPy5ZId9bvKBX6Pc+8LhsfPZlueG6NrHsHLvcwwQrQlmEHgEaVbQQQOgaMCJ0hB4mjZIWeukbDYuFnqupkbqavg15asvizqd+I9b9d4WZQuJl3dZJMvz/XCUNow8asq+dzz8vcs+yxMcTpgN3dIs0XHKFDB9fuEIy2LHr5Zdl/3+sEKurM0zziZZ1RxwkdX9zuTRNm5poPzSeDAGEngxXWoVAWQj4rdAbG+rKMi46hQAEkieA0JNnTA8QSI2A3z301AZCRxCAQOoEEHrqyOkQAskSGGqXe7I90zoEIFBOAgi9nPTpGwIJEBjqOfQEuqNJCEAgIwQQesRAqI1G37pxVb72ebNm5ncQJ31/8pnfb5G51yzN9znYl9+86Qz0uN0hrWNk2Y3X9u5+jjj1QNXUKvGwSeN6X2gSqFLMQkO9K6C4aVVu4aKb5d33P+j9Zz+eMYcmpX0m3V/c8YatHyY3w7adRvmBblWk0W+cPkr/cFNtrfnB9fn3DXBUJwGEHiHu6pfXzcvW9X5KtfgSZ4TmAlUp3exUvHN5oD8kSl8oEqgTDYWK/9ApfkOZhqYHbSLIJ25LhV76aFeS41Ntq5zZ9s723j9wVM68t31nKn8IJj23sLmZ9HjCtF8sxTT/4A0zxsHKqrxfffcv5MrLLsgvJlSOLV6yIrU/2nXMgTb0EkDoEXiWrj5LBR+hSd8qSpRvbHuv94U2A+1mLm6kXEL3xpD1FXraQi8NcBo545tUmgqEzU1N3WptphJX6KUAyn3Oaw0IjUUigNBDYvP+op954jG9qy0/uYbsYsDipVcB/E7e0kvuaa8+si704kvu5bj87XeFRUfOpNVG2NxMa1xh+jFB6Gn8HgrDlLLpE0DoIZl7Qr/w/DN771WlcSKVCtJP6KXTUgJZd9/63tsEIacduniWhV46mbQvf6eRL6EDFqNC3NyM0bW2qpUu9IEWGtrg0FDFEEDoIUNVKSv0gS7Hlb7jO+TUQxWvJKEH3UwXCsAghb3NcUsWLzBm8xIrdB2ZEb0N73fSuJbmft+YiN4iNSuVAEKPELlKuIeO0JsCRzYtoZsocwWZe+iBU017QWSuHWlFN4jQI4Qvi7vcS2WhxqgO7xGWtO/ZZmmFXnpJ/cH1m2TalIkDfo0sQjoEqmLaZfbiSVfyLndvHpV4yZ3L7IFOvaoqhNAjhjtrz6GXCr1czz0Xc1Fo09iM5/eJ21KhFz8zrcaYxnsESrl4aWfKc8OV+hz6QM9yp5EPEX/t9Ks20PsUVIHSzzvr6Is2KoMAQq+MODFKCEAAAhCAwJAEEDoJAgEIQAACEDCAAEI3IIhMAQIQgAAEIIDQyQEIQAACEICAAQQQugFBZAoQgAAEIAABhE4OQAACEIAABAwggNANCCJTgAAEIAABCCB0cgACEIAABCBgAAGEbkAQmQIEIAABCEAAoZMDEIAABCAAAQMIIHQDgsgUIAABCEAAAgidHIAABCAAAQgYQAChGxBEpgABCEAAAhBA6OQABCAAAQhAwAACCN2AIDIFCEAAAhCAAEInByAAAQhAAAIGEEDoBgSRKUAAAhCAAAQQOjkAAQhAAAIQMIAAQjcgiEwBAhCAAAQggNDJAQhAAAIQgIABBBC6AUFkChCAAAQgAAGETg5AAAIQgAAEDCCA0A0IIlOAAAQgAAEIIHRyAAIQgAAEIGAAAYRuQBCZAgQgAAEIQAChkwMQgAAEIAABAwggdAOCyBQgAAEIQAACCJ0cgAAEIAABCBhAAKEbEESmAAEIQAACEEDo5AAEIAABCEDAAAII3YAgMgUIQAACEIAAQicHIAABCEAAAgYQQOgGBJEpQAACEIAABBA6OQABCEAAAhAwgABCNyCITAECEIAABCCA0MkBCEAAAhCAgAEEELoBQWQKEIAABCAAAYRODkAAAhCAAAQMIIDQDQgiU4AABCAAAQggdHIAAhCAAAQgYAABhG5AEJkCBCAAAQhAAKGTAxCAAAQgAAEDCCB0A4LIFCAAAQhAAAIInRyAAAQgAAEIGEAAoRsQRKYAAQhAAAIQQOjkAAQgAAEIQMAAAgjdgCAyBQhAAAIQgABCJwcgAAEIQAACBhBA6AYEkSlAAAIQgAAEEDo5AAEIQAACEDCAAEI3IIhMAQIQgAAEIIDQyQEIQAACEICAAQQQugFBZAoQgAAEIAABhE4OQAACEIAABAwggNANCCJTgAAEIAABCCB0cgACEIAABCBgAAGEbkAQmQIEIAABCEAAoZMDEIAABCAAAQMIIHQDgsgUIAABCEAAAgidHIAABCAAAQgYQAChGxBEpgABCEAAAhBA6OQABCAAAQhAwAACCN2AIDIFCEAAAhCAAEInByAAAQhAAAIGEEDoBgSRKUAAAhCAAAQQOjkAAQhAAAIQMIAAQjcgiEwBAhCAAAQg8P8BvMucbEGnlKAAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from plotly.subplots import make_subplots\n",
    "\n",
    "fig = make_subplots(rows=1, cols=2)\n",
    "\n",
    "fig.add_trace(go.Scatter(y=[4, 2, 1], mode=\"lines\"), row=1, col=1)\n",
    "fig.add_trace(go.Bar(y=[2, 1, 3]), row=1, col=2)\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "grave-bunch",
   "metadata": {},
   "source": [
    "#### Add Trace Convenience Methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "equal-theater",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from plotly.subplots import make_subplots\n",
    "\n",
    "fig = make_subplots(rows=1, cols=2)\n",
    "\n",
    "fig.add_scatter(y=[4, 2, 1], mode=\"lines\", row=1, col=1)\n",
    "fig.add_bar(y=[2, 1, 3], row=1, col=2)\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sweet-phoenix",
   "metadata": {},
   "source": [
    "### Magic Underscore Notation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "infectious-intent",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "\n",
    "fig = go.Figure(\n",
    "    data=[go.Scatter(y=[1, 3, 2], line=dict(color=\"crimson\"))],\n",
    "#     layout=dict(title=dict(text=\"A Graph Objects Figure Without Magic Underscore Notation\"))\n",
    "    layout_title_text=\"A Graph Objects Figure With Magic Underscore Notation\"\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "instructional-forward",
   "metadata": {},
   "source": [
    "### Updating Figure Layouts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "established-macro",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "\n",
    "fig = go.Figure(data=go.Bar(x=[1, 2, 3], y=[1, 3, 2]))\n",
    "\n",
    "fig.update_layout(title_text=\"Using update_layout() With Graph Object Figures\",\n",
    "                  title_font_size=30)\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "muslim-tanzania",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig.update_layout(title_text=\"update_layout() Syntax Example\",\n",
    "                  title_font_size=30)\n",
    "\n",
    "fig.update_layout(title_text=\"update_layout() Syntax Example\",\n",
    "                  title_font=dict(size=30))\n",
    "\n",
    "\n",
    "fig.update_layout(title=dict(text=\"update_layout() Syntax Example\"),\n",
    "                             font=dict(size=30))\n",
    "\n",
    "fig.update_layout({\"title\": {\"text\": \"update_layout() Syntax Example\",\n",
    "                             \"font\": {\"size\": 30}}})\n",
    "\n",
    "fig.update_layout(title=go.layout.Title(text=\"update_layout() Syntax Example\",\n",
    "                                        font=go.layout.title.Font(size=30)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fuzzy-bolivia",
   "metadata": {},
   "source": [
    "### Updating Traces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "processed-triangle",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from plotly.subplots import make_subplots\n",
    "\n",
    "fig = make_subplots(rows=1, cols=2)\n",
    "\n",
    "fig.add_scatter(y=[4, 2, 3.5], mode=\"markers\",\n",
    "                marker=dict(size=20, color=\"LightSeaGreen\"),\n",
    "                name=\"a\", row=1, col=1)\n",
    "\n",
    "fig.add_bar(y=[2, 1, 3],\n",
    "            marker=dict(color=\"MediumPurple\"),\n",
    "            name=\"b\", row=1, col=1)\n",
    "\n",
    "fig.add_scatter(y=[2, 3.5, 4], mode=\"markers\",\n",
    "                marker=dict(size=20, color=\"MediumPurple\"),\n",
    "                name=\"c\", row=1, col=2)\n",
    "\n",
    "fig.add_bar(y=[1, 3, 2],\n",
    "            marker=dict(color=\"LightSeaGreen\"),\n",
    "            name=\"d\", row=1, col=2)\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fifteen-scout",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig.update_traces(marker_color=\"RoyalBlue\",\n",
    "                  selector=dict(marker_color=\"MediumPurple\"))\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "appreciated-helping",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig.update_traces(marker=dict(color=\"Chocolate\"),\n",
    "                  col=2)\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "alternative-ambassador",
   "metadata": {},
   "source": [
    "### Overwrite Existing Properties When Using Update Methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "searching-sherman",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "\n",
    "fig = go.Figure(go.Bar(x=[1, 2, 3], y=[6, 4, 9],\n",
    "                       marker_color=\"red\")) # will be overwritten below\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "married-fortune",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SdoJeCfYMYwU901vQMwErLBf0CqjBIwU9GLzSdoJeCVbQ68AKeh3XnKmCnqM3GWsFfTLOIfdTCHquYL/13tD7eZ1ytaBnAlZYLugVUINHCnoweKXtBL0SrDf0OrCCXsc1Z6qg5+hNxlpBn4xzyP0Ugp4r2G+9N/R+Xt7QM70ilgt6hHLdPQS9rm/UdEGPkv50H0HP9PaGnglYYbmgV0ANHinoweCVthP0SrC+cq8DK+h1XHOmCnqO3mSsFfTJOIfcTyHouYL91ntD7+flK/dMr4jlgh6hXHcPQa/rGzVd0KOkfeVeRNobehHGokMEvSjnkgwT9CVhL76poBcnPetAb+iZ3oKeCVhhuaBXQA0eKejB4JW2E/RKsGcYK+iZ3oKeCVhhuaBXQA0eKejB4JW2E/RKsIJeB1bQ67jmTBX0HL3JWCvok3EOuZ9C0HMF+633ht7P65SrBT0TsMJyQa+AGjxS0IPBK20n6JVgvaHXgRX0Oq45UwU9R28y1gr6ZJxD7qcQ9FzBfuu9offz8oae6RWxXNAjlOvuIeh1faOmC3qU9Kf7CPoC3vteP5Du+vb2+avu+OpN6ZEtd6fzV60c/2fe0GMf2C67CXoXpcm+RtAn+3y6fjpB7ypV5jpBX8DxuT0vp8vWr0033rAhffzJ4fTw48+kdWsvTvdvvlPQyzyDxacIenHS8IGCHk5eZUNBr8J6xqGC3tN7FPi9r+2ff0v3ht4TMOByQQ9ArryFoFcGDhov6EHQn20j6D29n9yxa7zCG3pPuMDLBT0Qu9JWgl4JNnisoMeCC3oP79HP05/YsSs9tf2+tPrCC8Yrjx6b7TRhmFKa3X8gLX/l5U7Xu2jxArPr1qXhpk1pZjBY/JAzrDz69u/T8pf2pMGhQ8VnG/hHgVHQj956W1q+9pLiLLPDYRrs3p1mDh4sPtvAEwWO3rIxzWy4Ng06/rO4fNkMwgwBQe+IN4r51m07047HHkhXXb5+ftU7H3T/L/Zlv/xFWvHqjzvu6LLFCoyCfvi2ry12+VnXDd79Qzrv319M6ZPu517lg7Q+dNWqdOjvb03DNX9a5U5Xvvi8oFeRPXHokZs3pqNXX9M56GsvOi/gU7W7haB3ONszxXy01M/QOwAGX+Ir92DwCtv5yr0C6hKM9JV7LLqgL+B9uq/Zj18i6LEPbJfdBL2L0mRfI+iTfT5dP52gd5Uqc52gL+A4+kVwTz+754SrPnfpmvmv3gW9zINYcoqgl9RcmlmCvjTupXcV9NKiZ58n6Jnegp4JWGG5oFdADR4p6MHglbYT9EqwZxgr6Jnegp4JWGG5oFdADR4p6MHglbYT9Eqwgl4HVtDruOZMFfQcvclYK+iTcQ65n0LQcwX7rfeG3s/rlKsFPROwwnJBr4AaPFLQg8ErbSfolWC9odeBFfQ6rjlTBT1HbzLWCvpknEPupxD0XMF+672h9/Pyhp7pFbFc0COU6+4h6HV9o6YLepT0p/sIeqa3N/RMwArLBb0CavBIQQ8Gr7SdoFeC9ZV7HVhBr+OaM1XQc/QmY62gT8Y55H4KQc8V7LfeG3o/L1+5Z3pFLBf0COW6ewh6Xd+o6YIeJe0r9yLS3tCLMBYdIuhFOZdkmKAvCXvxTQW9OOlZB3pDz/QW9EzACssFvQJq8EhBDwavtJ2gV4I9w1hBz/QW9EzACssFvQJq8EhBDwavtJ2gV4IV9Dqwgl7HNWeqoOfoTcZaQZ+Mc8j9FIKeK9hvvTf0fl6nXC3omYAVlgt6BdTgkYIeDF5pO0GvBOsNvQ6soNdxzZkq6Dl6k7FW0CfjHHI/haDnCvZb7w29n5c39EyviOWCHqFcdw9Br+sbNV3Qo6Q/3UfQO3g/t+fl9N3HnhlfecdXb0qPbLk7nb9q5fjvvaF3AAy+RNCDwStsJ+gVUJdgpKDHogv6At77Xj+QntixKz21/b60+sIL0pM7do1X3L/5TkGPfVY77ybonakm9kJBn9ij6fXBBL0XV/bFgr4A4SjgV1y2Ln399o3jK08OvDf07Gew+ABBL04aPlDQw8mrbCjoVVjPOFTQz+L98SeH08OPP5Nu+tL180F/48230ne27UyPbv1Wuury9b5yj31eO+0m6J2YJvoiQZ/o4+n84QS9M1WRCwW9Q9C/sekr6cYbNoyvPDnoXU9hmFI68qs30rL9/9V1iesWKTC7ek1advOX08zMYJETzrzsyDt/SDM/3ZfSkcPFZxt4nMDK89LsX96YVlyypjjL7OwwHXvl1TTz/rvFZxt4osCx6/8irbj6yjQYlP9nkfWpAoLeIehne0P3UBEgQIAAgUkQEPQFTmGhn6FPwiH6DAQIECBAQNAXeAYW+lXuHiECBAgQIDAJAoLe4RTO9vvQOyx3CQECBAgQqC4g6NWJp3uDk3/kMN13c259+tG3S3d9e/v8TZ/8hyKdWxrTebfvf/hRuuehH6Sf/fzX4xv44nVXzv+ZGNN5Rz51TQFBr6k7xbOP/1biew/ePf/b9qb4ls65jz46w8vWrx3/Do2534K5bu3F838o0jkHMoU3PPqXst+89c78P3+jM9372v4T/rTKKbwtH7mSgKBXgm1lrDf0Vk4yJTGY/rM8+df0TP8duYOSAoJeUrPBWYLezqGe/McWt3Nn586djM7w4DvveUM/d468150Kei+uc+9iQW/jzL3ZTfc5zv0IzM/Qp/sca396Qa8tPOXzBX3KD/Cz//2Brdt2ph2PPTD+44r9Nb0C/sVses8u4pMLeoTyFO8h6FN8eGI+3Yd3mk8/+lXvW7+/M22595v+5ay5082/IUHPN2x6gqBP7/F6m5ves5v75Mf/ToXRfzb6+127f+S3rk3/0Va5A0Gvwjr9Q4//bWuju/ncpWt8ZTtlxzr6l7Gnn91zwqd2jtN1iKP/MajNDz6Rfvf2p/9DMn6GPl3nF/1pBT1a3H4ECBAgQKCCgKBXQDWSAAECBAhECwh6tLj9CBAgQIBABQFBr4BqJAECBAgQiBYQ9Ghx+xEgQIAAgQoCgl4B1UgCBAgQIBAtIOjR4vYjQIAAAQIVBAS9AqqRBAgQIEAgWkDQo8XtR4AAAQIEKggIegVUIwkQIECAQLSAoEeL248AAQIECFQQEPQKqEYSIECAAIFoAUGPFrcfAQIECBCoICDoFVCNJECAAAEC0QKCHi1uPwIECBAgUEFA0CugGkmAAAECBKIFBD1a3H4ECBAgQKCCgKBXQDWSAAECBAhECwh6tLj9CBAgQIBABQFBr4BqJAECBAgQiBYQ9Ghx+xEgQIAAgQoCgl4B1UgCBAgQIBAtIOjR4vYjQIAAAQIVBAS9AqqRBAgQIEAgWkDQo8XtR4AAAQIEKggIegVUIwkQIECAQLSAoEeL248AAQIECFQQEPQKqEYSIECAAIFoAUGPFrcfAQIECBCoICDoFVCNJECAAAEC0QKCHi1uPwIECBAgUEFA0CugGkmAAAECBKIFBD1a3H4ECBAgQKCCgKBXQDWSAAECBAhECwh6tLj9CBAgQIBABQFBr4BqJAECBAgQiBYQ9Ghx+xEgQIAAgQoCgl4B1UgCBAgQIBAtIOjR4vYjQIAAAQIVBAS9AqqRBAgQIEAgWkDQo8XtR4AAAQIEKggIegVUIwkQIECAQLSAoEeL248AAQIECFQQEPQKqEYSIECAAIFoAUGPFrcfAQIECBCoICDoFVCNJECAAAEC0QKCHi1uPwIECBAgUEFA0CugGkmAAAECBKIFBD1a3H4ECBAgQKCCgKBXQDWSAAECBAhECwh6tLj9CBAgQIBABQFBr4BqJAECBAgQiBYQ9Ghx+xEgQIAAgQoCgl4B1UgCBAgQIBAtIOjR4vYjQIAAAQIVBAS9AqqRBAgQIEAgWkDQo8XtR4AAAQIEKggIegVUIwkQIECAQLSAoEeL248AAQIECFQQEPQKqEYSIECAAIFoAUGPFrcfAQIECBCoICDoFVCNJECAAAEC0QKCHi1uPwIECBAgUEFA0CugGkmAAAECBKIFBD1a3H4ECBAgQKCCgKBXQDWSAAECBAhECwh6tLj9CBAgQIBABYH/B6bYdU8ldZMcAAAAAElFTkSuQmCC"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig.update_traces(overwrite=False, marker={\"opacity\": 0.4})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "color-white",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig.update_traces(overwrite=True, marker={\"opacity\": 0.4})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ranking-remark",
   "metadata": {},
   "source": [
    "### Conditionally Updating Traces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "considered-offense",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import plotly.express as px\n",
    "\n",
    "df = px.data.iris()\n",
    "\n",
    "fig = px.scatter(df, x=\"sepal_width\", y=\"sepal_length\", color=\"species\",\n",
    "                 title=\"Conditionally Updating Traces In A Plotly Express Figure With for_each_trace()\")\n",
    "\n",
    "fig.for_each_trace(\n",
    "    lambda trace: trace.update(marker_symbol=\"square\") if trace.name == \"setosa\" else (),\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "scheduled-stack",
   "metadata": {},
   "source": [
    "### Updating Figure Axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "suburban-jersey",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import plotly.express as px\n",
    "\n",
    "df = px.data.iris()\n",
    "\n",
    "fig = px.scatter(df, x=\"sepal_width\", y=\"sepal_length\", color=\"species\",\n",
    "                 facet_col=\"species\", title=\"Using update_xaxes() With A Plotly Express Figure\")\n",
    "\n",
    "fig.update_xaxes(showgrid=False)\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "vulnerable-moment",
   "metadata": {},
   "source": [
    "### Chaining Figure Operations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "stable-reservation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.express as px\n",
    "\n",
    "df = px.data.iris()\n",
    "\n",
    "(px.scatter(df, x=\"sepal_width\", y=\"sepal_length\", color=\"species\",\n",
    "            facet_col=\"species\", trendline=\"ols\",\n",
    "            title=\"Chaining Multiple Figure Operations With A Plotly Express Figure\")\n",
    " .update_layout(title_font_size=24)\n",
    " .update_xaxes(showgrid=False)\n",
    " .update_traces(\n",
    "     line=dict(dash=\"dot\", width=4),\n",
    "     selector=dict(type=\"scatter\", mode=\"lines\"))\n",
    ").show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
